DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Kyung, Chong-Min | - |
dc.contributor.advisor | 경종민 | - |
dc.contributor.author | Kim, Young-Gyu | - |
dc.contributor.author | 김영규 | - |
dc.date.accessioned | 2015-04-23T06:13:43Z | - |
dc.date.available | 2015-04-23T06:13:43Z | - |
dc.date.issued | 2014 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=592386&flag=dissertation | - |
dc.identifier.uri | http://hdl.handle.net/10203/196663 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 전기및전자공학과, 2014.8, [ iv, 26 p. ] | - |
dc.description.abstract | Background subtraction is a common method for detecting foreground regions in visual surveillance systems. Since background subtraction is usually the first step of the visual surveillance system, minimizing the processing time and memory consumption is crucial to the performance of entire system. In this paper, we propose two kinds of improved background subtraction methods which consider temporal redundancy and spatial redundancy, respectively. Firstly, we propose a fast cascaded background subtraction method (FCB) which combines frame difference and Gaussian mixture model. By exploiting temporal redundancy in a cascaded fashion, we can reduce the processing time while maintaining the high detection accuracy. Secondly, we propose a memory-efficient cluster-level background subtraction (MCB) to utilize spatial redundancy. By combining similar pixel-level background models into one cluster-level background model, we can considerably reduce the memory consumption for storing the background model. Finally, we combine two methods to take advantages of temporal and spatial redundancy at the same time. | eng |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | Foreground detection | - |
dc.subject | Gaussian mixture model | - |
dc.subject | 배경 제거 | - |
dc.subject | 전경 검출 | - |
dc.subject | Background subtraction | - |
dc.subject | 가우시안 혼합 모델 | - |
dc.title | Fast and memory-efficient background subtraction utilizing spatial and temporal redundancy | - |
dc.title.alternative | 영상의 시공간적 중복성을 활용한 연산 및 메모리 효율적 배경 제거 기법 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 592386/325007 | - |
dc.description.department | 한국과학기술원 : 전기및전자공학과, | - |
dc.identifier.uid | 020124372 | - |
dc.contributor.localauthor | Kyung, Chong-Min | - |
dc.contributor.localauthor | 경종민 | - |
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